{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T15:13:05Z","timestamp":1784733185996,"version":"3.55.0"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Young Scientists Fund of the National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41501493"],"award-info":[{"award-number":["41501493"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2017M610391"],"award-info":[{"award-number":["2017M610391"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2017YFB0504202"],"award-info":[{"award-number":["2017YFB0504202"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004543","name":"China Scholarship Council","doi-asserted-by":"publisher","award":["201906650014"],"award-info":[{"award-number":["201906650014"]}],"id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2020,12]]},"DOI":"10.1109\/tgrs.2020.2985695","type":"journal-article","created":{"date-parts":[[2020,4,28]],"date-time":"2020-04-28T19:57:07Z","timestamp":1588103827000},"page":"8301-8315","source":"Crossref","is-referenced-by-count":66,"title":["MS-RRFSegNet: Multiscale Regional Relation Feature Segmentation Network for Semantic Segmentation of Urban Scene Point Clouds"],"prefix":"10.1109","volume":"58","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6260-5203","authenticated-orcid":false,"given":"Haifeng","family":"Luo","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5509-4188","authenticated-orcid":false,"given":"Chongcheng","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3170-847X","authenticated-orcid":false,"given":"Lina","family":"Fang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6639-1727","authenticated-orcid":false,"given":"Kourosh","family":"Khoshelham","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5092-0134","authenticated-orcid":false,"given":"Guixi","family":"Shen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2016.90"},{"key":"ref38","article-title":"Multi-scale context aggregation by dilated convolutions","author":"yu","year":"2015","journal-title":"arXiv 1511 07122"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2017.00067"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2016.7900038"},{"key":"ref31","first-page":"307","article-title":"FPNN: Field probing neural networks for 3D data","author":"li","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref30","article-title":"OctNet: Learning deep 3D representations at high resolutions","author":"riegler","year":"2016","journal-title":"arXiv 1611 05009"},{"key":"ref37","article-title":"A simple neural network module for relational reasoning","author":"santoro","year":"2017","journal-title":"arXiv 1706 01427"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2018.05.004"},{"key":"ref35","article-title":"Large-scale point cloud semantic segmentation with superpoint graphs","author":"landrieu","year":"2017","journal-title":"arXiv 1711 09869"},{"key":"ref34","article-title":"PointSIFT: A SIFT-like network module for 3D point cloud semantic segmentation","author":"jiang","year":"2018","journal-title":"arXiv 1807 00652"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.609"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2015.7353481"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.99"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2599163"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2514508"},{"key":"ref20","article-title":"Dynamic graph CNN for learning on point clouds","author":"wang","year":"2018","journal-title":"arXiv 1801 07829"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/383259.383300"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-64689-3_8"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.85"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.cag.2017.11.010"},{"key":"ref26","first-page":"1912","article-title":"3D ShapeNets: A deep representation for volumetric shapes","author":"wu","year":"2015","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"ref25","article-title":"3D shape segmentation with projective convolutional networks","author":"kalogerakis","year":"2016","journal-title":"arXiv 1612 02808"},{"key":"ref50","article-title":"ConvPoint: Continuous convolutions for point cloud processing","author":"boulch","year":"2019","journal-title":"arXiv 1904 02375"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00651"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00169"},{"key":"ref52","article-title":"Classification of point cloud scenes with multiscale voxel deep network","author":"roynard","year":"2018","journal-title":"arXiv 1804 03583"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2018.2834961"},{"key":"ref12","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Proc Int Conf Med Image Comput Comput -Assist Intervent"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-018-0556-3"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00199"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-019-2685-1"},{"key":"ref17","article-title":"PointNet: Deep learning on point sets for 3D classification and segmentation","author":"qi","year":"2016","journal-title":"arXiv 1612 00593"},{"key":"ref18","first-page":"5099","article-title":"Pointnet++: Deep hierarchical feature learning on point sets in a metric space","author":"qi","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref19","article-title":"PointCNN: Convolution on X-transformed points","author":"li","year":"2018","journal-title":"arXiv 1801 07791"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2359951"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2751061"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2802935"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2564501"},{"key":"ref8","article-title":"Semantic image segmentation with deep convolutional nets and fully connected CRFs","author":"chen","year":"2014","journal-title":"arXiv 1412 7062"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2572683"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794052"},{"key":"ref9","article-title":"Rethinking atrous convolution for semantic image segmentation","author":"chen","year":"2017","journal-title":"arXiv 1706 05587"},{"key":"ref46","year":"2019","journal-title":"The Ranking Page of Large-Scale Point Clouds Classification of Semantic3D Benchmark"},{"key":"ref45","year":"2019","journal-title":"The Ranking Page of Large-Scale Point Clouds Classification of Paris-Lille-3D Benchmark"},{"key":"ref48","first-page":"1","article-title":"Classification of point cloud for road scene understanding with multiscale voxel deep network","author":"roynard","year":"2018","journal-title":"Proc 10th Workshop Planning Perception Navigat Intell Vehicules (PPNIV)"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2018.00052"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.5194\/isprs-annals-IV-1-W1-91-2017"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1177\/0278364918767506"},{"key":"ref44","article-title":"ParseNet: Looking wider to see better","author":"liu","year":"2015","journal-title":"arXiv 1506 04579"},{"key":"ref43","article-title":"TensorFlow: Large-scale machine learning on heterogeneous distributed systems","author":"abadi","year":"2016","journal-title":"arXiv 1603 04467"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/9268446\/09080553.pdf?arnumber=9080553","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T14:13:25Z","timestamp":1651068805000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9080553\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12]]},"references-count":53,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tgrs.2020.2985695","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,12]]}}}